ArticleDiagnostics (Basel, Switzerland)2024
Novel Immunohistochemical Profiling of Small-Cell Lung Cancer: Correlations Between Tumor Subtypes and Immune Microenvironment.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Integrating molecular subtypes, genomics and functional dependencies to identify context-specific therapeutic vulnerabilities in small cell lung cancer.Biomarker research · 2026Review
- Quantitative Immunohistochemical Landscapes and Chemoimmunotherapy Outcomes of ASCL1, NEUROD1, POU2F3, and YAP1 in Pure Small-Cell Lung Cancer: A Pilot Study.Journal of clinical medicine · 2026Article
- Tumor Heterogeneity and Plasticity in Small Cell Lung Cancer.Lung Cancer (Auckland, N.Z.) · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
BACKGROUND/
objectivesSmall-cell lung cancer (SCLC) is a highly aggressive malignancy with an emerging molecular classification based on the expression of the transcription factors ASCL1, NEUROD1, and POU2F3. This study aimed to explore the relationship between these novel subtypes and the tumor immune microenvironment (TIME), particularly CD8+ and CD4+ tumor-infiltrating lymphocytes (TILs).
methodsIn 51 cases of patients with SCLC, immunohistochemical (IHC) stains for ASCL1, NEUROD1, POU2F3, CD56, Ki67, CD8, and CD4 were performed. H-scores for the novel transcription factors were calculated to determine tumor subtype. CD8+ and CD4+ TIL counts were averaged across 10 high-power fields. The Kruskal-Wallis test and subsequent post hoc Dunn tests were used to determine the differences in transcription factor expression and TILs across subtypes.
resultsIn our cohort, 68.62% of our cases were SCLC-A, 9.80% were SCLC-N, 7.84% were SCLC-P, and 13.72% were SCLC-I. Significant differences were observed in the expression of ASCL1, NEUROD1, and POU2F3 across subtypes. CD8+ TILs were more abundant in SCLC-P and SCLC-I. CD8+ TILs were negatively correlated with ASCL1 expression (
conclusionsThis study highlights the need to integrate the novel SCLC classification with data regarding the TIME to better inform patient prognosis and treatment.
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